Onyx: A Programmable Accelerator for Sparse Tensor Algebra

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Published
2024-08-25
DOI
https://doi.org/10.1109/hcs61935.2024.10665150
Citations
3
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
1.47

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article

Onyx: A Programmable Accelerator for Sparse Tensor Algebra

Jackson Melchert, Akhilesh Balasingam, Huifeng Ke, Joel Emer et al.
3 citations
Parallel Computing and Optimization Techniques
1.47
article

Onyx: A Programmable Accelerator for Sparse Tensor Algebra

Jackson Melchert, Akhilesh Balasingam, Huifeng Ke, Joel Emer, Christopher Torng, Priyanka Raina, Taeyoung Kong, Olivia Hsu, Kalhan Koul, Fredrik Kjølstad, Yuchen Mei, Ritvik Sharma, Maxwell Strange, Alex Carsello, Gedeon Nyengele, Mark Horowitz, Po‐Han Chen, Keyi Zhang, Qiaoyi Liu, Jayashree Adivarahan, Zhouhua Xie
article en
3 citations

Abstract

No abstract available for this paper.
University of Southern California (US), IIT@MIT (US), Stanford University (US)
National Science Foundation, Samsung
Openalex Percentile: Top 17%
Parallel Computing and Optimization Techniques
1.47
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